Hyperconverged Infrastructure (HCI) for Enterprise Data Centers: Performance and Scalability Analysis
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V4I4P104Keywords:
Hyperconverged Infrastructure, Enterprise Data Centers, Performance Optimization, Scalability, Virtualization, Software-Defined Storage, Workload Management, Cloud Integration, Data Center Efficiency, IT InfrastructureAbstract
By combining processing, storage & the networking into a coherent, software-defined architecture, hyperconverged infrastructure (HCI) has changed corporate data centers. This innovative approach replaces the previous hardware silos by enhancing administration & bettering resource usage. As companies grow, scalability & the performance become ever more important factors for the success of HCI. Performance immediately affects application responsiveness, workload efficiency, and overall IT productivity, while scalability ensures that infrastructure can evolve seamlessly in alignment with business goals. This research examines the efficacy of HCI relative to traditional three-tier systems in handling diverse workloads. Essential performance metrics such as latency, throughput, input/output operations per second (IOPS) & the latency facilitate the assessment of operational efficiency. The research investigates the scalability issues such as node expansion, data localization & the network bandwidth constraints to evaluate the potential of HCI to facilitate organizational growth. Research indicates that efficient workload allocation & the infrastructure design determine the scalability of HCI, notwithstanding its provision of enhanced operations & the performance. Hardware acceleration, software-defined storage optimization & the network advances have significantly improved HCI's ability to manage high-performance applications. To capitalize on the benefits of HCI, issues like resource congestion, hypervisor overhead & the scaling costs need innovative solutions. For enterprises seeking agility, cost-efficiency & the optimized IT operations, HCI is an appropriate option; yet, its sustained success depends on the meticulous implementation and ongoing performance evaluation
References
1. Halabi, Sam. Hyperconverged infrastructure data centers: demystifying HCI. Cisco Press, 2019.
2. Azeem, Shaikh Abdul, and Satyendra Kumar Sharma. "Study of converged infrastructure & hyper converge infrastructre as future of data centre." International Journal of Advanced Research in Computer Science 8.5 (2017): 900-903.
3. Magsi, Zeeshan, et al. "Conceptual framework transformation of converged infrastructure (CI) into hyper converged technology for virtualization of server infrastructure." 2020 IEEE 7th International Conference on Engineering Technologies and Applied Sciences (ICETAS). IEEE, 2020.
4. Infrastructure, On-Premise. "A Paradigm Shift towards On-Premise Modern Data Center Infrastructure for Agility and Scalability in Resource Provisioning." International Journal 9.4 (2020).
5. Nasir, Ayesha, et al. "Reliability management framework and recommender system for hyper-converged infrastructured data centers." 2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET). IEEE, 2020.
6. Кучук, Н. Г. "Comprehensive performance criterion for hyper-converged infrastructure." Телекомунікаційні та інформаційні технології 3 (2019): 55-62.
7. Wang, Chianing Johnny, and BaekGyu Kim. "Automotive Big Data Pipeline: Disaggregated Hyper-Converged Infrastructure vs Hyper-Converged Infrastructure." 2020 IEEE International Conference on Big Data (Big Data). IEEE, 2020.
8. Tabassum, Nadia, et al. "Intelligent reliability management in hyper-convergence cloud infrastructure using fuzzy inference system." EAI Endorsed Transactions on Scalable Information Systems 6.23 (2019).
9. Prabowo, Rizqie Joko, et al. "The determinants of user’s intention to adopt hyper-converged infrastructure technologies: An integrated approach." 2018 International Conference on Information Technology Systems and Innovation (ICITSI). IEEE, 2018.
10. Meneses-Narvaez, S. E., et al. "Design and Tests to Implement Hyperconvergence into a DataCenter: Preliminary Results." Adv. Emerg. Trends Technol 1066 (2019):54-67.
11. Maya-Olalla, Edgar, et al. "Design and tests to implement hyperconvergence into a datacenter: preliminary results." Advances in Emerging Trends and Technologies: Volume 1. Springer International Publishing, 2020.
12. Rolik, Oleksandr, Sergii Telenyk, and Eduard Zharikov. "Management of services of a hyperconverged infrastructure using the coordinator." International Conference on Computer Science, Engineering and Education Applications. Cham: Springer International Publishing, 2018.
13. D Lowe, Scott, James Green, and David Davis. Building a Modern Data Center: Principles and Strategies of Design. Atlantis Computing, 2016.
14. Leone, Mike. "Analyzing the Economic Benefits of the HPE SimpliVity 380 All-flash Hyperconverged Portfolio." (2018).
15. Scionti, Alberto, et al. "Enabling the hpc and artificial intelligence cross-stack convergence at the exascale level." HPC, Big Data, and AI Convergence Towards Exascale. CRC Press, 2022. 37-58.
